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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. Preferred Qualifications:Solid background and hands on experiences with building Machine learning, deep learning and AI modelsExperiences with Generative AI/LLM.Excellent understanding of algorithms and data structures and ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C.
$188,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge or expertise in one or more of the following is a plus: visual design, machine learning, mobile applications, web applications, messaging interfaces, illustration, video/film production.
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Experience with machine learning or predictive modeling is a plus. As a Senior Marketing Analyst, you’ll collaborate closely with the Head of Marketing, diving deep into campaign performance to generate actionable insights.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with machine learning and DevOps is also beneficial but not required. Familiarity with Docker, Kubernetes, Jax, and PyTorch is a plus. They are dedicated to transforming the music industry with cutting-edge technology solutions, and we're looking for a Full Stack Engineer to join this dynamic team.
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Experience with asynchronous workflow, big-data, machine learning and AWS technologies is a plus. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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Knowledge of AWS Machine Learning Offerings, knowledge bases and Bedrock will be a plus. Experience of implementing Airflow in AWS (MWAA) will be a plus. Prior domain experience of Life Insurance, Annuity or Financial Services is a plus.
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We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML. Data visualization or web development skills a plus.
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Experience in the industry domain is a plus, as is experience with Azure Machine Learning. 5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Knowledge of machine learning, computer vision, or neural networks is a plus. Tesla is seeking a highly motivated Front-End Software Engineer to join our team's mission in building the next generation in-house computer vision and machine learning platform for all manufacturing and supply chain needs.
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SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
$236,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. Strong knowledge of statistical analysis techniques, machine learning algorithms, and data visualization tools.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will work on the forefront of technology, applying your expertise in computer vision, machine learning, and sensor fusion to create robust and reliable perception solutions that enable our ASVs to navigate and make critical decisions in complex maritime environments.
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Understanding of machine learning, computer vision, and robotics. Join our dynamic full-stack team on a mission to create impactful machine learning solutions deployable across diverse platforms.
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Experience in backend development and databases is a plus - Golang, MySQL preferred. Experience with visualization tools using SVG, ThreeJS or game engines is a plus. Experience in mobile/hybrid app development is a plus.
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As a Computer Scientist on the Fraud Team, you will be responsible for spearheading the development and execution of an innovative Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) strategy to combat various fraudulent activities, including bot attacks, Account Takeover (ATO) incidents, phishing schemes, theft, and product misuse.
$267,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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